114 resultados para Map art
Resumo:
En este informe se describe el trabajo de fin de máster, centrado en el estudio de la gamificación como herramienta de aprendizaje aplicada a dispositivos móviles. Se ha realizado una revisión de los artículos científicos que tratan sobre el tema de la gamificación como herramienta educativa, para terminar el trabajo desarrollando un prototipo de juego para el aprendizaje de mapas de Karnaugh. Se ha optado por un desarrollo multiplataforma y se han revisado los frameworks de desarrollo más populares para desarrollo móvil multiplataforma, así como los motores de juegos aplicables a este caso. Tras la implementación, se ha probado el prototipo en dos sistemas operativos móviles libres: Android y Firefox OS.
Resumo:
This paper discusses some of the key concepts in the consideration of public art as a central element in urban regeneration processes, especially in reference to its role in the processes of citizen participation.
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This project is intended to prove the prevalent importance of myth in contemporary art and, more specifically, to highlight how myth and poetry have shaped and reflected ideas of womanhood over time. A selection of significant literary periods, authors and works from the Renaissance to our days have been chosen in order to provide a wide scope of the evolution that the portrayal of women has undergone. Special attention has been paid to the way in which a group of selected poets have contributed to the construction and deconstruction of traditional Judeo-Christian and Greco-Roman myths strongly attached to patterns of male dominance.
Resumo:
L'objectiu d'aquest projecte és l'estudi del cos en el net.art en el període comprès entre el 1996 i el 1999. La intenció d'aquest estudi és utilitzar tècniques qualitatives i de comparació per poder realitzar l'anàlisi de les obres que ens ajudin a arribar a unes conclusions sobre la manera d'interpretar el cos en el net.art.
Resumo:
This paper presents the preliminary findings of pH and colour measurements carried out on artworks on paperand on wood that had been treated with a poly(vinyl acetate) (PVAC) based adhesive in the 1980s. In both cases, areas treated with PVAC proved to be less acidic than untreated areas. Contrary to expectations, the conservation treatments have not, as yet, increased acidity levels in the objects under study. Colour measurements of the works on paper showed that those that had been backed with a cotton fabric using a mixture of methylcellulose and PVAC were less yellow than those from the same print run that had not been backed. This finding suggests that the backing somehow prevented the natural degradation of the support. In view of these preliminary results, further research is clearly needed. This study forms part of a broader ongoing project to assess the role of PVAC in the conservation of a range of cultural assets.
Resumo:
This paper presents the preliminary findings of pH and colour measurements carried out on artworks on paperand on wood that had been treated with a poly(vinyl acetate) (PVAC) based adhesive in the 1980s. In both cases, areas treated with PVAC proved to be less acidic than untreated areas. Contrary to expectations, the conservation treatments have not, as yet, increased acidity levels in the objects under study. Colour measurements of the works on paper showed that those that had been backed with a cotton fabric using a mixture of methylcellulose and PVAC were less yellow than those from the same print run that had not been backed. This finding suggests that the backing somehow prevented the natural degradation of the support. In view of these preliminary results, further research is clearly needed. This study forms part of a broader ongoing project to assess the role of PVAC in the conservation of a range of cultural assets.
Resumo:
Aim of this contribution is to illustrate the state of the art of smart antenna research from several perspectives. The bow is drawn from transmitter issues via channel measurements and modeling, receiver signal processing, network aspects, technological challenges towards first smart antenna applications and current status of standardization. Moreover, some future prospects of different disciplines in smart antenna research are given.
Resumo:
Es presenten els resultats d’una investigació de caràcter qualitatiu -encara que s’ha utilitzat en algun moment l’estadística- pel que fa a la valoració que un grup d’alumnes de la Universitat Ramon Llull fa del mètode psicofísic Cos-Art com a treball que serveix per millorar l’emissió de la veu. Les tècniques i els instruments per a la recollida d’informació que s’han utilitzat han estat el diari de camp i el qüestionari. L’anàlisi de resultats mostra el treball global del Mètode com a efectiu. En blocs més específics, com poden ser els temes de respiració o llengua, entre altres, la freqüència més elevada en les respostes ha estat que el treball de Cos-Art els ha ajudat bastant. Per últim, un gran nombre d’alumnes consideren que el Mètode Cos-Art ajuda, de forma molt positiva, a prendre consciència d’un mateix.
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El fet que la pintura decorativa del darrer quart del Set-cents sigui una de les manifestacions plàstiques més interessants de la producción catalana del moment ha estat el motor impulsor de la nostra dedicació al tema dins el marc del projecte de recerca ACAF/ART. Així, centrarem la nostra ponéncia en els programes decoratius del palaus barcelonins d'aquest període.
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This paper presents a novel image classification scheme for benthic coral reef images that can be applied to both single image and composite mosaic datasets. The proposed method can be configured to the characteristics (e.g., the size of the dataset, number of classes, resolution of the samples, color information availability, class types, etc.) of individual datasets. The proposed method uses completed local binary pattern (CLBP), grey level co-occurrence matrix (GLCM), Gabor filter response, and opponent angle and hue channel color histograms as feature descriptors. For classification, either k-nearest neighbor (KNN), neural network (NN), support vector machine (SVM) or probability density weighted mean distance (PDWMD) is used. The combination of features and classifiers that attains the best results is presented together with the guidelines for selection. The accuracy and efficiency of our proposed method are compared with other state-of-the-art techniques using three benthic and three texture datasets. The proposed method achieves the highest overall classification accuracy of any of the tested methods and has moderate execution time. Finally, the proposed classification scheme is applied to a large-scale image mosaic of the Red Sea to create a completely classified thematic map of the reef benthos
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This article focuses on Barcelona"s art market to explore the underlying factors behind the clustering of art dealers in several of the city"s districts. Drawing upon quantitative and qualitative data, the article analyses how such clustering reveals a strategic action in the sense attributed to it by Crozier and Friedberg (1981). Gallery districts are not a reflection of structural factors (economic, urban development-related or social) but the result of a combination of strategic choices either individual or collective which explain the permanence of leading gallery districts or the emergence of new ones.
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Thermal energy storage (TES) can increase the thermal energy effieresa, of a process by reusing the waste heat from industrial process, solar energy or other sources. There are different ways to store thermal energy: by sensible heat, by latest heat, by sorption process or by chemical reaction. This thesrs provides a-state-of-the-art review of the experimental performance of TES systems based on solid gas sorption process and chemical reactions. The importance of theses processes is that provides a heat loss free storage system with a high energy density.
Resumo:
Life cycle analysis (LCA) is a comprehensive method for assessing the environmental impact of a product or an activity over its entire life cycle. The purpose of conducting LCA studies varies from one application to another. Different applications use LCA for different purposes. In general, the main aim of using LCA is to reduce the environmental impact of products through guiding the decision making process towards more sustainable solutions. The most critical phase in an LCA study is the Life Cycle Impact Assessment (LCIA) where the life cycle inventory (LCI) results of the considered substances related to the study of a certain system are transformed into understandable impact categories that represent the impact on the environment. In this research work, a general structure clarifying the steps that shall be followed ir order to conduct an LCA study effectively is presented. These steps are based on the ISO 14040 standard framework. In addition, a survey is done on the most widely used LCIA methodologies. Recommendations about possible developments and suggetions for further research work regarding the use of LCA and LCIA methodologies are discussed as well.
Resumo:
Les emulsions concentrades o altament concentrades de betum són un camp molt poc estudiat avui en dia. El treball és un estat de l'art de tots els papers que hi ha sobre aquest tema desde el mètode tradicional fins el HIPR (High Internal Phase Ratio).
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Many classification systems rely on clustering techniques in which a collection of training examples is provided as an input, and a number of clusters c1,...cm modelling some concept C results as an output, such that every cluster ci is labelled as positive or negative. Given a new, unlabelled instance enew, the above classification is used to determine to which particular cluster ci this new instance belongs. In such a setting clusters can overlap, and a new unlabelled instance can be assigned to more than one cluster with conflicting labels. In the literature, such a case is usually solved non-deterministically by making a random choice. This paper presents a novel, hybrid approach to solve this situation by combining a neural network for classification along with a defeasible argumentation framework which models preference criteria for performing clustering.